The global Data Science and ML Platforms market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.

North American market for Data Science and ML Platforms is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.

Asia-Pacific market for Data Science and ML Platforms is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.

The global market for Data Science and ML Platforms in Small and Medium Enterprises (SMEs) is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.

The major global companies of Data Science and ML Platforms include Palantier, MathWorks, Alteryx, SAS, Databricks, TIBCO Software, Dataiku, H2O.ai and IBM, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.

This report aims to provide a comprehensive presentation of the global market for Data Science and ML Platforms, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Data Science and ML Platforms.

Report Scope

The Data Science and ML Platforms market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Data Science and ML Platforms market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.

For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.

The report will help the Data Science and ML Platforms companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.

Market Segmentation

Scope of Data Science and ML Platforms Market Report

Report Metric	Details
Report Name	Data Science and ML Platforms Market
Segment by Type	Cloud-based On-premises
Segment by Application	Small and Medium Enterprises (SMEs) Large Enterprises
By Region	North America (United States, Canada) Europe (Germany, France, UK, Italy, Russia) Rest of Europe Nordic Countries Asia-Pacific (China, Japan, South Korea) Southeast Asia (India, Australia) Rest of Asia Latin America (Mexico, Brazil) Rest of Latin America Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of MEA)
By Company	Palantier, MathWorks, Alteryx, SAS, Databricks, TIBCO Software, Dataiku, H2O.ai, IBM, Microsoft, Google, KNIME, DataRobot, RapidMiner, Anaconda, Domino, Altair
Forecast units	USD million in value
Report coverage	Revenue and volume forecast, company share, competitive landscape, growth factors and trends

Chapter Outline

Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Data Science and ML Platforms companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

FAQ for this report

Who are the main players in the Data Science and ML Platforms Market report?

Ans: The main players in the Data Science and ML Platforms Market are Palantier, MathWorks, Alteryx, SAS, Databricks, TIBCO Software, Dataiku, H2O.ai, IBM, Microsoft, Google, KNIME, DataRobot, RapidMiner, Anaconda, Domino, Altair

What are the Application segmentation covered in the Data Science and ML Platforms Market report?

Ans: The Applications covered in the Data Science and ML Platforms Market report are Small and Medium Enterprises (SMEs), Large Enterprises

What are the Type segmentation covered in the Data Science and ML Platforms Market report?

Ans: The Types covered in the Data Science and ML Platforms Market report are Cloud-based, On-premises

1 Report Overview

1.1 Study Scope

1.2 Market Analysis by Type

1.2.1 Global Data Science and ML Platforms Market Size Growth Rate by Type: 2019 VS 2023 VS 2030

1.2.2 Cloud-based

1.2.3 On-premises

1.3 Market by Application

1.3.1 Global Data Science and ML Platforms Market Growth by Application: 2019 VS 2023 VS 2030

1.3.2 Small and Medium Enterprises (SMEs)

1.3.3 Large Enterprises

1.4 Study Objectives

1.5 Years Considered

1.6 Years Considered

2 Global Growth Trends

2.1 Global Data Science and ML Platforms Market Perspective (2019-2030)

2.2 Data Science and ML Platforms Growth Trends by Region

2.2.1 Global Data Science and ML Platforms Market Size by Region: 2019 VS 2023 VS 2030

2.2.2 Data Science and ML Platforms Historic Market Size by Region (2019-2024)

2.2.3 Data Science and ML Platforms Forecasted Market Size by Region (2025-2030)

2.3 Data Science and ML Platforms Market Dynamics

2.3.1 Data Science and ML Platforms Industry Trends

2.3.2 Data Science and ML Platforms Market Drivers

2.3.3 Data Science and ML Platforms Market Challenges

2.3.4 Data Science and ML Platforms Market Restraints

3 Competition Landscape by Key Players

3.1 Global Top Data Science and ML Platforms Players by Revenue

3.1.1 Global Top Data Science and ML Platforms Players by Revenue (2019-2024)

3.1.2 Global Data Science and ML Platforms Revenue Market Share by Players (2019-2024)

3.2 Global Data Science and ML Platforms Market Share by Company Type (Tier 1, Tier 2, and Tier 3)

3.3 Players Covered: Ranking by Data Science and ML Platforms Revenue

3.4 Global Data Science and ML Platforms Market Concentration Ratio

3.4.1 Global Data Science and ML Platforms Market Concentration Ratio (CR5 and HHI)

3.4.2 Global Top 10 and Top 5 Companies by Data Science and ML Platforms Revenue in 2023

3.5 Data Science and ML Platforms Key Players Head office and Area Served

3.6 Key Players Data Science and ML Platforms Product Solution and Service

3.7 Date of Enter into Data Science and ML Platforms Market

3.8 Mergers & Acquisitions, Expansion Plans

4 Data Science and ML Platforms Breakdown Data by Type

4.1 Global Data Science and ML Platforms Historic Market Size by Type (2019-2024)

4.2 Global Data Science and ML Platforms Forecasted Market Size by Type (2025-2030)

5 Data Science and ML Platforms Breakdown Data by Application

5.1 Global Data Science and ML Platforms Historic Market Size by Application (2019-2024)

5.2 Global Data Science and ML Platforms Forecasted Market Size by Application (2025-2030)

6 North America

6.1 North America Data Science and ML Platforms Market Size (2019-2030)

6.2 North America Data Science and ML Platforms Market Growth Rate by Country: 2019 VS 2023 VS 2030

6.3 North America Data Science and ML Platforms Market Size by Country (2019-2024)

6.4 North America Data Science and ML Platforms Market Size by Country (2025-2030)

6.5 United States

6.6 Canada

7 Europe

7.1 Europe Data Science and ML Platforms Market Size (2019-2030)

7.2 Europe Data Science and ML Platforms Market Growth Rate by Country: 2019 VS 2023 VS 2030

7.3 Europe Data Science and ML Platforms Market Size by Country (2019-2024)

7.4 Europe Data Science and ML Platforms Market Size by Country (2025-2030)

7.5 Germany

7.6 France

7.7 U.K.

7.8 Italy

7.9 Russia

7.10 Nordic Countries

8 Asia-Pacific

8.1 Asia-Pacific Data Science and ML Platforms Market Size (2019-2030)

8.2 Asia-Pacific Data Science and ML Platforms Market Growth Rate by Region: 2019 VS 2023 VS 2030

8.3 Asia-Pacific Data Science and ML Platforms Market Size by Region (2019-2024)

8.4 Asia-Pacific Data Science and ML Platforms Market Size by Region (2025-2030)

8.5 China

8.6 Japan

8.7 South Korea

8.8 Southeast Asia

8.9 India

8.10 Australia

9 Latin America

9.1 Latin America Data Science and ML Platforms Market Size (2019-2030)

9.2 Latin America Data Science and ML Platforms Market Growth Rate by Country: 2019 VS 2023 VS 2030

9.3 Latin America Data Science and ML Platforms Market Size by Country (2019-2024)

9.4 Latin America Data Science and ML Platforms Market Size by Country (2025-2030)

9.5 Mexico

9.6 Brazil

10 Middle East & Africa

10.1 Middle East & Africa Data Science and ML Platforms Market Size (2019-2030)

10.2 Middle East & Africa Data Science and ML Platforms Market Growth Rate by Country: 2019 VS 2023 VS 2030

10.3 Middle East & Africa Data Science and ML Platforms Market Size by Country (2019-2024)

10.4 Middle East & Africa Data Science and ML Platforms Market Size by Country (2025-2030)

10.5 Turkey

10.6 Saudi Arabia

10.7 UAE

11 Key Players Profiles

11.1 Palantier

11.1.1 Palantier Company Detail

11.1.2 Palantier Business Overview

11.1.3 Palantier Data Science and ML Platforms Introduction

11.1.4 Palantier Revenue in Data Science and ML Platforms Business (2019-2024)

11.1.5 Palantier Recent Development

11.2 MathWorks

11.2.1 MathWorks Company Detail

11.2.2 MathWorks Business Overview

11.2.3 MathWorks Data Science and ML Platforms Introduction

11.2.4 MathWorks Revenue in Data Science and ML Platforms Business (2019-2024)

11.2.5 MathWorks Recent Development

11.3 Alteryx

11.3.1 Alteryx Company Detail

11.3.2 Alteryx Business Overview

11.3.3 Alteryx Data Science and ML Platforms Introduction

11.3.4 Alteryx Revenue in Data Science and ML Platforms Business (2019-2024)

11.3.5 Alteryx Recent Development

11.4 SAS

11.4.1 SAS Company Detail

11.4.2 SAS Business Overview

11.4.3 SAS Data Science and ML Platforms Introduction

11.4.4 SAS Revenue in Data Science and ML Platforms Business (2019-2024)

11.4.5 SAS Recent Development

11.5 Databricks

11.5.1 Databricks Company Detail

11.5.2 Databricks Business Overview

11.5.3 Databricks Data Science and ML Platforms Introduction

11.5.4 Databricks Revenue in Data Science and ML Platforms Business (2019-2024)

11.5.5 Databricks Recent Development

11.6 TIBCO Software

11.6.1 TIBCO Software Company Detail

11.6.2 TIBCO Software Business Overview

11.6.3 TIBCO Software Data Science and ML Platforms Introduction

11.6.4 TIBCO Software Revenue in Data Science and ML Platforms Business (2019-2024)

11.6.5 TIBCO Software Recent Development

11.7 Dataiku

11.7.1 Dataiku Company Detail

11.7.2 Dataiku Business Overview

11.7.3 Dataiku Data Science and ML Platforms Introduction

11.7.4 Dataiku Revenue in Data Science and ML Platforms Business (2019-2024)

11.7.5 Dataiku Recent Development

11.8 H2O.ai

11.8.1 H2O.ai Company Detail

11.8.2 H2O.ai Business Overview

11.8.3 H2O.ai Data Science and ML Platforms Introduction

11.8.4 H2O.ai Revenue in Data Science and ML Platforms Business (2019-2024)

11.8.5 H2O.ai Recent Development

11.9 IBM

11.9.1 IBM Company Detail

11.9.2 IBM Business Overview

11.9.3 IBM Data Science and ML Platforms Introduction

11.9.4 IBM Revenue in Data Science and ML Platforms Business (2019-2024)

11.9.5 IBM Recent Development

11.10 Microsoft

11.10.1 Microsoft Company Detail

11.10.2 Microsoft Business Overview

11.10.3 Microsoft Data Science and ML Platforms Introduction

11.10.4 Microsoft Revenue in Data Science and ML Platforms Business (2019-2024)

11.10.5 Microsoft Recent Development

11.11 Google

11.11.1 Google Company Detail

11.11.2 Google Business Overview

11.11.3 Google Data Science and ML Platforms Introduction

11.11.4 Google Revenue in Data Science and ML Platforms Business (2019-2024)

11.11.5 Google Recent Development

11.12 KNIME

11.12.1 KNIME Company Detail

11.12.2 KNIME Business Overview

11.12.3 KNIME Data Science and ML Platforms Introduction

11.12.4 KNIME Revenue in Data Science and ML Platforms Business (2019-2024)

11.12.5 KNIME Recent Development

11.13 DataRobot

11.13.1 DataRobot Company Detail

11.13.2 DataRobot Business Overview

11.13.3 DataRobot Data Science and ML Platforms Introduction

11.13.4 DataRobot Revenue in Data Science and ML Platforms Business (2019-2024)

11.13.5 DataRobot Recent Development

11.14 RapidMiner

11.14.1 RapidMiner Company Detail

11.14.2 RapidMiner Business Overview

11.14.3 RapidMiner Data Science and ML Platforms Introduction

11.14.4 RapidMiner Revenue in Data Science and ML Platforms Business (2019-2024)

11.14.5 RapidMiner Recent Development

11.15 Anaconda

11.15.1 Anaconda Company Detail

11.15.2 Anaconda Business Overview

11.15.3 Anaconda Data Science and ML Platforms Introduction

11.15.4 Anaconda Revenue in Data Science and ML Platforms Business (2019-2024)

11.15.5 Anaconda Recent Development

11.16 Domino

11.16.1 Domino Company Detail

11.16.2 Domino Business Overview

11.16.3 Domino Data Science and ML Platforms Introduction

11.16.4 Domino Revenue in Data Science and ML Platforms Business (2019-2024)

11.16.5 Domino Recent Development

11.17 Altair

11.17.1 Altair Company Detail

11.17.2 Altair Business Overview

11.17.3 Altair Data Science and ML Platforms Introduction

11.17.4 Altair Revenue in Data Science and ML Platforms Business (2019-2024)

11.17.5 Altair Recent Development

12 Analyst's Viewpoints/Conclusions

13 Appendix

13.1 Research Methodology

13.1.1 Methodology/Research Approach

13.1.2 Data Source

13.2 Disclaimer

13.3 Author Details

FEATURED COMPANIES

List of Tables

Table 1. Global Data Science and ML Platforms Market Size Growth Rate by Type (US$ Million): 2019 VS 2023 VS 2030

Table 2. Key Players of Cloud-based

Table 3. Key Players of On-premises

Table 4. Global Data Science and ML Platforms Market Size Growth by Application (US$ Million): 2019 VS 2023 VS 2030

Table 5. Global Data Science and ML Platforms Market Size by Region (US$ Million): 2019 VS 2023 VS 2030

Table 6. Global Data Science and ML Platforms Market Size by Region (2019-2024) & (US$ Million)

Table 7. Global Data Science and ML Platforms Market Share by Region (2019-2024)

Table 8. Global Data Science and ML Platforms Forecasted Market Size by Region (2025-2030) & (US$ Million)

Table 9. Global Data Science and ML Platforms Market Share by Region (2025-2030)

Table 10. Data Science and ML Platforms Market Trends

Table 11. Data Science and ML Platforms Market Drivers

Table 12. Data Science and ML Platforms Market Challenges

Table 13. Data Science and ML Platforms Market Restraints

Table 14. Global Data Science and ML Platforms Revenue by Players (2019-2024) & (US$ Million)

Table 15. Global Data Science and ML Platforms Market Share by Players (2019-2024)

Table 16. Global Top Data Science and ML Platforms Players by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Data Science and ML Platforms as of 2023)

Table 17. Ranking of Global Top Data Science and ML Platforms Companies by Revenue (US$ Million) in 2023

Table 18. Global 5 Largest Players Market Share by Data Science and ML Platforms Revenue (CR5 and HHI) & (2019-2024)

Table 19. Key Players Headquarters and Area Served

Table 20. Key Players Data Science and ML Platforms Product Solution and Service

Table 21. Date of Enter into Data Science and ML Platforms Market

Table 22. Mergers & Acquisitions, Expansion Plans

Table 23. Global Data Science and ML Platforms Market Size by Type (2019-2024) & (US$ Million)

Table 24. Global Data Science and ML Platforms Revenue Market Share by Type (2019-2024)

Table 25. Global Data Science and ML Platforms Forecasted Market Size by Type (2025-2030) & (US$ Million)

Table 26. Global Data Science and ML Platforms Revenue Market Share by Type (2025-2030)

Table 27. Global Data Science and ML Platforms Market Size by Application (2019-2024) & (US$ Million)

Table 28. Global Data Science and ML Platforms Revenue Market Share by Application (2019-2024)

Table 29. Global Data Science and ML Platforms Forecasted Market Size by Application (2025-2030) & (US$ Million)

Table 30. Global Data Science and ML Platforms Revenue Market Share by Application (2025-2030)

Table 31. North America Data Science and ML Platforms Market Size Growth Rate by Country (US$ Million): 2019 VS 2023 VS 2030

Table 32. North America Data Science and ML Platforms Market Size by Country (2019-2024) & (US$ Million)

Table 33. North America Data Science and ML Platforms Market Size by Country (2025-2030) & (US$ Million)

Table 34. Europe Data Science and ML Platforms Market Size Growth Rate by Country (US$ Million): 2019 VS 2023 VS 2030

Table 35. Europe Data Science and ML Platforms Market Size by Country (2019-2024) & (US$ Million)

Table 36. Europe Data Science and ML Platforms Market Size by Country (2025-2030) & (US$ Million)

Table 37. Asia-Pacific Data Science and ML Platforms Market Size Growth Rate by Region (US$ Million): 2019 VS 2023 VS 2030

Table 38. Asia-Pacific Data Science and ML Platforms Market Size by Region (2019-2024) & (US$ Million)

Table 39. Asia-Pacific Data Science and ML Platforms Market Size by Region (2025-2030) & (US$ Million)

Table 40. Latin America Data Science and ML Platforms Market Size Growth Rate by Country (US$ Million): 2019 VS 2023 VS 2030

Table 41. Latin America Data Science and ML Platforms Market Size by Country (2019-2024) & (US$ Million)

Table 42. Latin America Data Science and ML Platforms Market Size by Country (2025-2030) & (US$ Million)

Table 43. Middle East & Africa Data Science and ML Platforms Market Size Growth Rate by Country (US$ Million): 2019 VS 2023 VS 2030

Table 44. Middle East & Africa Data Science and ML Platforms Market Size by Country (2019-2024) & (US$ Million)

Table 45. Middle East & Africa Data Science and ML Platforms Market Size by Country (2025-2030) & (US$ Million)

Table 46. Palantier Company Detail

Table 47. Palantier Business Overview

Table 48. Palantier Data Science and ML Platforms Product

Table 49. Palantier Revenue in Data Science and ML Platforms Business (2019-2024) & (US$ Million)

Table 50. Palantier Recent Development

Table 51. MathWorks Company Detail

Table 52. MathWorks Business Overview

Table 53. MathWorks Data Science and ML Platforms Product

Table 54. MathWorks Revenue in Data Science and ML Platforms Business (2019-2024) & (US$ Million)

Table 55. MathWorks Recent Development

Table 56. Alteryx Company Detail

Table 57. Alteryx Business Overview

Table 58. Alteryx Data Science and ML Platforms Product

Table 59. Alteryx Revenue in Data Science and ML Platforms Business (2019-2024) & (US$ Million)

Table 60. Alteryx Recent Development

Table 61. SAS Company Detail

Table 62. SAS Business Overview

Table 63. SAS Data Science and ML Platforms Product

Table 64. SAS Revenue in Data Science and ML Platforms Business (2019-2024) & (US$ Million)

Table 65. SAS Recent Development

Table 66. Databricks Company Detail

Table 67. Databricks Business Overview

Table 68. Databricks Data Science and ML Platforms Product

Table 69. Databricks Revenue in Data Science and ML Platforms Business (2019-2024) & (US$ Million)

Table 70. Databricks Recent Development

Table 71. TIBCO Software Company Detail

Table 72. TIBCO Software Business Overview

Table 73. TIBCO Software Data Science and ML Platforms Product

Table 74. TIBCO Software Revenue in Data Science and ML Platforms Business (2019-2024) & (US$ Million)

Table 75. TIBCO Software Recent Development

Table 76. Dataiku Company Detail

Table 77. Dataiku Business Overview

Table 78. Dataiku Data Science and ML Platforms Product

Table 79. Dataiku Revenue in Data Science and ML Platforms Business (2019-2024) & (US$ Million)

Table 80. Dataiku Recent Development

Table 81. H2O.ai Company Detail

Table 82. H2O.ai Business Overview

Table 83. H2O.ai Data Science and ML Platforms Product

Table 84. H2O.ai Revenue in Data Science and ML Platforms Business (2019-2024) & (US$ Million)

Table 85. H2O.ai Recent Development

Table 86. IBM Company Detail

Table 87. IBM Business Overview

Table 88. IBM Data Science and ML Platforms Product

Table 89. IBM Revenue in Data Science and ML Platforms Business (2019-2024) & (US$ Million)

Table 90. IBM Recent Development

Table 91. Microsoft Company Detail

Table 92. Microsoft Business Overview

Table 93. Microsoft Data Science and ML Platforms Product

Table 94. Microsoft Revenue in Data Science and ML Platforms Business (2019-2024) & (US$ Million)

Table 95. Microsoft Recent Development

Table 96. Google Company Detail

Table 97. Google Business Overview

Table 98. Google Data Science and ML Platforms Product

Table 99. Google Revenue in Data Science and ML Platforms Business (2019-2024) & (US$ Million)

Table 100. Google Recent Development

Table 101. KNIME Company Detail

Table 102. KNIME Business Overview

Table 103. KNIME Data Science and ML Platforms Product

Table 104. KNIME Revenue in Data Science and ML Platforms Business (2019-2024) & (US$ Million)

Table 105. KNIME Recent Development

Table 106. DataRobot Company Detail

Table 107. DataRobot Business Overview

Table 108. DataRobot Data Science and ML Platforms Product

Table 109. DataRobot Revenue in Data Science and ML Platforms Business (2019-2024) & (US$ Million)

Table 110. DataRobot Recent Development

Table 111. RapidMiner Company Detail

Table 112. RapidMiner Business Overview

Table 113. RapidMiner Data Science and ML Platforms Product

Table 114. RapidMiner Revenue in Data Science and ML Platforms Business (2019-2024) & (US$ Million)

Table 115. RapidMiner Recent Development

Table 116. Anaconda Company Detail

Table 117. Anaconda Business Overview

Table 118. Anaconda Data Science and ML Platforms Product

Table 119. Anaconda Revenue in Data Science and ML Platforms Business (2019-2024) & (US$ Million)

Table 120. Anaconda Recent Development

Table 121. Domino Company Detail

Table 122. Domino Business Overview

Table 123. Domino Data Science and ML Platforms Product

Table 124. Domino Revenue in Data Science and ML Platforms Business (2019-2024) & (US$ Million)

Table 125. Domino Recent Development

Table 126. Altair Company Detail

Table 127. Altair Business Overview

Table 128. Altair Data Science and ML Platforms Product

Table 129. Altair Revenue in Data Science and ML Platforms Business (2019-2024) & (US$ Million)

Table 130. Altair Recent Development

Table 131. Research Programs/Design for This Report

Table 132. Key Data Information from Secondary Sources

Table 133. Key Data Information from Primary Sources

List of Figures

Figure 1. Global Data Science and ML Platforms Market Size Comparison by Type (2024-2030) & (US$ Million)

Figure 2. Global Data Science and ML Platforms Market Share by Type: 2023 VS 2030

Figure 3. Cloud-based Features

Figure 4. On-premises Features

Figure 5. Global Data Science and ML Platforms Market Size Comparison by Application (2024-2030) & (US$ Million)

Figure 6. Global Data Science and ML Platforms Market Share by Application: 2023 VS 2030

Figure 7. Small and Medium Enterprises (SMEs) Case Studies

Figure 8. Large Enterprises Case Studies

Figure 9. Data Science and ML Platforms Report Years Considered

Figure 10. Global Data Science and ML Platforms Market Size (US$ Million), Year-over-Year: 2019-2030

Figure 11. Global Data Science and ML Platforms Market Size, (US$ Million), 2019 VS 2023 VS 2030

Figure 12. Global Data Science and ML Platforms Market Share by Region: 2023 VS 2030

Figure 13. Global Data Science and ML Platforms Market Share by Players in 2023

Figure 14. Global Top Data Science and ML Platforms Players by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Data Science and ML Platforms as of 2023)

Figure 15. The Top 10 and 5 Players Market Share by Data Science and ML Platforms Revenue in 2023

Figure 16. North America Data Science and ML Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 17. North America Data Science and ML Platforms Market Share by Country (2019-2030)

Figure 18. United States Data Science and ML Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 19. Canada Data Science and ML Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 20. Europe Data Science and ML Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 21. Europe Data Science and ML Platforms Market Share by Country (2019-2030)

Figure 22. Germany Data Science and ML Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 23. France Data Science and ML Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 24. U.K. Data Science and ML Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 25. Italy Data Science and ML Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 26. Russia Data Science and ML Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 27. Nordic Countries Data Science and ML Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 28. Asia-Pacific Data Science and ML Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 29. Asia-Pacific Data Science and ML Platforms Market Share by Region (2019-2030)

Figure 30. China Data Science and ML Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 31. Japan Data Science and ML Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 32. South Korea Data Science and ML Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 33. Southeast Asia Data Science and ML Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 34. India Data Science and ML Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 35. Australia Data Science and ML Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 36. Latin America Data Science and ML Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 37. Latin America Data Science and ML Platforms Market Share by Country (2019-2030)

Figure 38. Mexico Data Science and ML Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 39. Brazil Data Science and ML Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 40. Middle East & Africa Data Science and ML Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 41. Middle East & Africa Data Science and ML Platforms Market Share by Country (2019-2030)

Figure 42. Turkey Data Science and ML Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 43. Saudi Arabia Data Science and ML Platforms Market Size YoY Growth (2019-2030) & (US$ Million)

Figure 44. Palantier Revenue Growth Rate in Data Science and ML Platforms Business (2019-2024)

Figure 45. MathWorks Revenue Growth Rate in Data Science and ML Platforms Business (2019-2024)

Figure 46. Alteryx Revenue Growth Rate in Data Science and ML Platforms Business (2019-2024)

Figure 47. SAS Revenue Growth Rate in Data Science and ML Platforms Business (2019-2024)

Figure 48. Databricks Revenue Growth Rate in Data Science and ML Platforms Business (2019-2024)

Figure 49. TIBCO Software Revenue Growth Rate in Data Science and ML Platforms Business (2019-2024)

Figure 50. Dataiku Revenue Growth Rate in Data Science and ML Platforms Business (2019-2024)

Figure 51. H2O.ai Revenue Growth Rate in Data Science and ML Platforms Business (2019-2024)

Figure 52. IBM Revenue Growth Rate in Data Science and ML Platforms Business (2019-2024)

Figure 53. Microsoft Revenue Growth Rate in Data Science and ML Platforms Business (2019-2024)

Figure 54. Google Revenue Growth Rate in Data Science and ML Platforms Business (2019-2024)

Figure 55. KNIME Revenue Growth Rate in Data Science and ML Platforms Business (2019-2024)

Figure 56. DataRobot Revenue Growth Rate in Data Science and ML Platforms Business (2019-2024)

Figure 57. RapidMiner Revenue Growth Rate in Data Science and ML Platforms Business (2019-2024)

Figure 58. Anaconda Revenue Growth Rate in Data Science and ML Platforms Business (2019-2024)

Figure 59. Domino Revenue Growth Rate in Data Science and ML Platforms Business (2019-2024)

Figure 60. Altair Revenue Growth Rate in Data Science and ML Platforms Business (2019-2024)

Figure 61. Bottom-up and Top-down Approaches for This Report

Figure 62. Data Triangulation

Figure 63. Key Executives Interviewed

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